Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population-based cohort study
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BACKGROUND: ). METHODS: and complete ethnicity data, were registered with a general practitioner practice in England at any point between Sept 1, 1990, and Dec 1, 2018, and had at least 1 year of follow-up data. Patients with type 2 diabetes were identified by use of a CALIBER phenotyping algorithm. Self-reported ethnicity was collapsed into five main categories. Age-adjusted and sex-adjusted negative binomial regression models, with fractional polynomials for BMI, were fitted with incident type 2 diabetes and ethnicity data. FINDINGS: (26·5-27·0) in Arab populations. INTERPRETATION: Revisions of ethnicity-specific BMI cutoffs are needed to ensure that minority ethnic populations are provided with appropriate clinical surveillance to optimise the prevention, early diagnosis, and timely management of type 2 diabetes. FUNDING: National Institute for Health Research.
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The BMI cutoff of age- and sex-adjusted incidence for type 2 diabetes equivalent to the cutoff of 25 kg/m2 in the White population is as low as 19.2 kg/m2 in South Asians.
“The BMI cutoff of age- and sex-adjusted incidence for type 2 diabetes that is equivalent to the cutoff of 25 kg/m2 in the White population is as low as 19.2 kg/m2 in South Asians [39].”
From Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity (2024) · cites this paper as [39]
The Methods (Statistical analysis; page unavailable) say the study identified age- and sex-adjusted BMI cutoffs risk-equivalent to 25.0 kg/m² in White populations. The Discussion (page unavailable) says the corresponding overweight cutoffs were lower in South Asian populations, but the passages in our copy do not give the claimed value of 19.2 kg/m²; the reported 23.9 kg/m² figure instead uses a White reference BMI of 30.0 kg/m². (LLM, conf=0.82)
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Cites
(2004) · The Lancet · doi:10.1016/s0140-6736(03)15268-3 · Cited by 12,717 · see citing works
Liraglutide and Cardiovascular Outcomes in Type 2 Diabetes
Marso, S. P., Daniels, G. H., Brown-Frandsen, K., Kristensen, P., Mann, J. F. E., Nauck, M. A., Nissen, S. E., Pocock, S., Poulter, N. R., Ravn, L. S., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1603827 · Cited by 7,629 · see citing works
Physical Status: The Use and Interpretation of Anthropometry
Frisancho, A. R. (1996) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/64.5.830 · Cited by 6,569 · see citing works
Dapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes
Wiviott, S. D., Raz, I., Bonaca, M. P., Mosenzon, O., Kato, E. T., Cahn, A., Silverman, M. G., Zelniker, T. A., Kuder, J. F., Murphy, S. A., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1812389 · Cited by 6,382 · see citing works
Canagliflozin and Renal Outcomes in Type 2 Diabetes and Nephropathy
Perkovic, V., Jardine, M. J., Neal, B., Bompoint, S., Heerspink, H. J. L., Charytan, D. M., Edwards, R., Agarwal, R., Bakris, G., Bull, S., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1811744 · Cited by 6,189 · see citing works
Prospective Studies Collaboration (2009) · The Lancet · doi:10.1016/s0140-6736(09)60318-4 · Cited by 4,807 · see citing works
European Guidelines for Obesity Management in Adults
Yumuk, V., Tsigos, C., Fried, M., Schindler, K., Busetto, L., Micic, D., & Toplak, H. (2015) · Obesity Facts · doi:10.1159/000442721 · Cited by 3,432 · see citing works
Data Resource Profile: Clinical Practice Research Datalink (CPRD)
Herrett, E., Gallagher, A. M., Bhaskaran, K., Forbes, H., Mathur, R., van Staa, T., & Smeeth, L. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv098 · Cited by 2,667 · see citing works
Self-citationChatterjee, S., Khunti, K., & Davies, M. J. (2017) · The Lancet · doi:10.1016/s0140-6736(17)30058-2 · Cited by 2,577 · see citing works
Assessing Adiposity: A Scientific Statement From the American Heart Association
Cornier, M.-A., Després, J.-P., Davis, N., Grossniklaus, D. A., Klein, S., Lamarche, B., Lopez-Jimenez, F., Rao, G., St-Onge, M.-P., Towfighi, A., et al. (2011) · Circulation · doi:10.1161/cir.0b013e318233bc6a · Cited by 945 · see citing works
Genomics, type 2 diabetes, and obesity
McCarthy, M. I. (2010) · New England Journal of Medicine · doi:10.1056/nejmra0906948 · Cited by 938 · see citing works
Defining Obesity Cut Points in a Multiethnic Population
Razak, F. A., Anand, S. S., Shannon, H. S., Vuksan, V. V. V., Davis, B. C., Jacobs, R., Teo, K. K., McQueen, M., & Yusuf, S. (2007) · Circulation · doi:10.1161/circulationaha.106.635011 · Cited by 558 · see citing works
BMI Cut Points to Identify At-Risk Asian Americans for Type 2 Diabetes Screening
Hsu, W. C., Araneta, M. R. G., Kanaya, A. M., Chiang, J. L., & Fujimoto, W. (2015) · Diabetes Care · doi:10.2337/dc14-2391 · Cited by 500 · see citing works
Completeness and usability of ethnicity data in UK-based primary care and hospital databases
Mathur, R., Bhaskaran, K., Chaturvedi, N., Leon, D. A., van Staa, T. P., Grundy, E. M. D., & Smeeth, L. L. (2013) · Journal of Public Health · doi:10.1093/pubmed/fdt116 · Cited by 464 · see citing works
Self-citationDeriving ethnic-specific BMI cutoff points for assessing diabetes risk.
Chiu, M., Austin, P. C., Manuel, D. G., Shah, B. R., & Tu, J. V. (2011) · Diabetes Care · doi:10.2337/dc10-2300 · Cited by 398 · see citing works
Haw, J. S., Galaviz, K. I., Straus, A. N., Kowalski, A. J., Magee, M. J., Weber, M. B., Wei, J., Narayan, K. M. V., & Ali, M. K. (2017) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2017.6040 · Cited by 354 · see citing works
Misra, A. (2015) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2015.0007 · Cited by 292 · see citing works
Denaxas, S., George, J., Herrett, E. L., Shah, A. D., Kalra, D., Hingorani, A. D., Mika Kivimaki, B., Timmis, A., Smeeth, L. L., & Hemingway, H. (2012) · International Journal of Epidemiology · doi:10.1093/ije/dys188 · Cited by 228 · see citing works
Ntuk, U. E., Gill, J. M. R., Mackay, D. F., Sattar, N., & Pell, J. P. (2014) · Diabetes Care · doi:10.2337/dc13-2966 · Cited by 220 · see citing works
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER
Denaxas, S., González-Izquierdo, A., Direk, K., Fitzpatrick, N. K., Fatemifar, G., Banerjee, A., Dobson, R., Howe, L. J., Kuan, V., Lumbers, R. T., et al. (2019) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocz105 · Cited by 216 · see citing works
Self-citationAsymptotically Unbiased Estimation of Exposure Odds Ratios in Complete Records Logistic Regression
Bartlett, J. W., Harel, O., & Carpenter, J. R. (2015) · American Journal of Epidemiology · doi:10.1093/aje/kwv114 · Cited by 161 · see citing works
Ethnicity and Type 2 diabetes in the UK
Goff, L. M. (2019) · Diabetic Medicine · doi:10.1111/dme.13895 · Cited by 146 · see citing works
Universal cut-off BMI points for obesity are not appropriate
Deurenberg, P. (2001) · British Journal Of Nutrition · doi:10.1079/bjn2000273 · Cited by 138 · see citing works
Tillin, T., Sattar, N. A., Godsland, I. F., Hughes, A. D., Chaturvedi, N., & Forouhi, N. G. (2014) · Diabetic Medicine · doi:10.1111/dme.12576 · Cited by 93 · see citing works
Ethnicity Recording in Primary Care Computerised Medical Record Systems: An Ontological Approach
Tippu, Z., Correa, A., Liyanage, H., Burleigh, D., McGovern, A. P., van Vlymen, J. N., Jones, S., & de Lusignan, S. (2017) · Journal of Innovation in Health Informatics · doi:10.14236/jhi.v23i4.920 · Cited by 72 · see citing works
Eastwood, S. V., Tillin, T., Dehbi, H., Wright, A., Forouhi, N. G., Godsland, I. F., Whincup, P. H., Sattar, N. A., Hughes, A. D., & Chaturvedi, N. (2015) · Obesity · doi:10.1002/oby.20997 · Cited by 59 · see citing works
Fiducial Intervals: What are They?
Wang, Y. H. (2000) · The American Statistician · doi:10.1080/00031305.2000.10474520 · Cited by 35 · see citing works
Evolution of the human life cycle
Bogin, B., & Smith, B. H. (1996) · American Journal of Human Biology · doi:10.1002/(sici)1520-6300(1996)8:6
Flagged first, then by citations
Cited by
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Martin, S. S., Aday, A. W., Almarzooq, Z. I., Anderson, C. A. M., Arora, P., Avery, C. L., Baker-Smith, C. M., Barone Gibbs, B., Beaton, A. Z., Boehme, A. K., et al. (2024) · Circulation · doi:10.1161/cir.0000000000001209 · Cited by 2,800 · see citing works
Martin, S. S., Aday, A. W., Allen, N. B., Almarzooq, Z., Anderson, C. A. M., Arora, P. K., Avery, C. L., Baker-Smith, C. M., Bansal, N., Beaton, A., et al. (2025) · Circulation · doi:10.1161/cir.0000000000001303 · Cited by 1,206 · see citing works
Popkin, B. M., & Ng, S. W. (2021) · Obesity Reviews · doi:10.1111/obr.13366 · Cited by 714 · see citing works
Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity
Wu, Y., Li, D., & Vermund, S. H. (2024) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph21060757 · Cited by 332 · see citing works
Body Roundness Index and All-Cause Mortality Among US Adults
Zhang, X., Ma, N., Lin, Q., Chen, K., Zheng, F., Wu, J., Dong, X., & Niu, W. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.15051 · Cited by 319 · see citing works
Palaniappan, L. P., Allen, N. B., Almarzooq, Z., Anderson, C. A. M., Arora, P. K., Avery, C. L., Baker-Smith, C. M., Bansal, N., Currie, M. E., Earlie, R. S., et al. (2026) · Circulation · doi:10.1161/cir.0000000000001412 · Cited by 312 · see citing works
Jayedi, A., Soltani, S., Motlagh, S. Z.-T., Emadi, A., Shahinfar, H., Moosavi, H., & Shab-Bidar, S. (2022) · BMJ · doi:10.1136/bmj-2021-067516 · Cited by 253 · see citing works
Obesity in South and Southeast Asia—A new consensus on care and management
Tham, K. W., Abdul Ghani, R., Cua, S. C., Deerochanawong, C., Fojas, M., Hocking, S., Lee, J., Nam, T. Q., Pathan, F., Saboo, B., et al. (2023) · Obesity Reviews · doi:10.1111/obr.13520 · Cited by 187 · see citing works
Surrogate Adiposity Markers and Mortality
Khan, I. I., Chong, M., Le, A., Mohammadi‐Shemirani, P., Morton, R. W., Brinza, C., Kiflen, M., Narula, S., Akhabir, L., Mao, S., et al. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.34836 · Cited by 179 · see citing works
Worldwide estimates of incidence of type 2 diabetes in children and adolescents in 2021
Wu, H., Patterson, C., Zhang, X., Ghani, R. B. A., Magliano, D. J., Boyko, E. J., Ogle, G. D., & Luk, A. O. Y. (2022) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2022.109785 · Cited by 172 · see citing works
Nadolsky, K., Garvey, W. T., Agarwal, M., Bonnecaze, A., Burguera, B., Chaplin, M. D., Griebeler, M. L., Harris, S. R., Schellinger, J. N., Simonetti, J., et al. (2025) · Endocrine Practice · doi:10.1016/j.eprac.2025.07.017 · Cited by 141 · see citing works
Multi-ancestry Polygenic Mechanisms of Type 2 Diabetes
Smith, K., Deutsch, A., McGrail, C., Kim, H., Hsu, S., Huerta-Chagoya, A., Mandla, R., Schroeder, P. H., Westerman, K., Szczerbinski, L., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-02865-3 · Cited by 115 · see citing works
Cai, S., Zhou, L., Zhang, Y., Cheng, B., Zhang, A., Sun, J., Li, M., Su, Y., Bao, Q., Zhang, Y., et al. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.894686 · Cited by 91 · see citing works
Siddiqui, M. K., Anjana, R. M., Dawed, A. Y., Maroteau, C., Srinivasan, S., Jebarani, S., Madanagopal, S. K., Taylor, A., Bell, S., Veluchamy, A., et al. (2022) · Diabetologia · doi:10.1007/s00125-022-05671-z · Cited by 91 · see citing works
Ward, Z. J., Willett, W. C., Hu, F. B., Pacheco, L. S., Long, M. W., & Gortmaker, S. L. (2022) · EClinicalMedicine · doi:10.1016/j.eclinm.2022.101429 · Cited by 85 · see citing works
Fang, H., Xie, F., Li, K., Li, M., & Wu, Y. (2023) · BMC Cardiovascular Disorders · doi:10.1186/s12872-023-03452-z · Cited by 79 · see citing works
Pharmacotherapy for obesity management in adults: 2025 clinical practice guideline update
Pedersen, S. D., Manjoo, P., Dash, S., Jain, A., Pearce, N., & Poddar, M. (2025) · Canadian Medical Association Journal · doi:10.1503/cmaj.250502 · Cited by 78 · see citing works
Brettle, H., Tran, V., Drummond, G. R., Franks, A. E., Petrovski, S., Vinh, A., & Jelinic, M. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.971048 · Cited by 78 · see citing works
The Role of Oxidative Stress Enhanced by Adiposity in Cardiometabolic Diseases
Świątkiewicz, I., Wróblewski, M., Nuszkiewicz, J., Sutkowy, P., Wróblewska, J., & Woźniak, A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24076382 · Cited by 79 · see citing works
Gilbert, O., Gulati, M., Gluckman, T. J., Kittleson, M. M., Rikhi, R., Saseen, J. J., & Tchang, B. G. (2025) · JACC · doi:10.1016/j.jacc.2025.05.024 · Cited by 65 · see citing works
Obesity and Type 2 Diabetes: Adiposopathy as a Triggering Factor and Therapeutic Options
Artasensi, A., Mazzolari, A., Pedretti, A., Vistoli, G., & Fumagalli, L. (2023) · Molecules · doi:10.3390/molecules28073094 · Cited by 65 · see citing works
Heavy arch: from inflammatory bowel diseases to metabolic disorders
Adolph, T. E., Meyer, M., Jukic, A., & Tilg, H. (2024) · Gut · doi:10.1136/gutjnl-2024-331914 · Cited by 65 · see citing works
Yates, T. E., Summerfield, A., Razieh, C., Banerjee, A., Chudasama, Y., Davies, M. J., Gillies, C. L., Islam, N., Lawson, C. A., Mirkes, E. M., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28248-1 · Cited by 54 · see citing works
Self-citationLifestyle and socioeconomic determinants of diabetes: Evidence from country-level data
Richards, S. E., Wijeweera, C., & Wijeweera, A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0270476 · Cited by 61 · see citing works
Body mass index and survival in people with heart failure
Jones, N. R., Ordóñez-Mena, J. M., Roalfe, A. K., Taylor, K., Goyder, C., Hobbs, R. F., & Taylor, C. J. (2023) · Heart · doi:10.1136/heartjnl-2023-322459 · Cited by 54 · see citing works
The challenges of identifying and studying type 1 diabetes in adults
Thomas, N. J., & Jones, A. G. (2023) · Diabetologia · doi:10.1007/s00125-023-06004-4 · Cited by 54 · see citing works
Obesity pharmacotherapy in older adults: a narrative review of evidence
Henney, A. E., Wilding, J. P. H., Alam, U., & Cuthbertson, D. J. (2025) · International Journal of Obesity · doi:10.1038/s41366-024-01529-z · Cited by 51 · see citing works
Branche, A. R., Ramesh, M. S., & Francis, B. M. (2024) · Infectious Diseases and Therapy · doi:10.1007/s40121-024-01081-3 · Cited by 49 · see citing works
Vasishta, S., Ganesh, K., Umakanth, S., & Joshi, M. B. (2022) · Metabolomics · doi:10.1007/s11306-022-01905-8 · Cited by 45 · see citing works
Misra, S., Holman, N., Barron, E., Knighton, P., Warner, J., Kar, P. S., Young, B., & Valabhji, J. (2022) · Diabetic Medicine · doi:10.1111/dme.14940 · Cited by 46 · see citing works
Gut microbiota and therapy for obesity and type 2 diabetes
Zhang, L., Wang, P., Huang, J., Xing, Y., Wong, F. S., Suo, J., & Li, W. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1333778 · Cited by 51 · see citing works
Current Knowledge on the Pathophysiology of Lean/Normal-Weight Type 2 Diabetes
Salvatore, T., Galiero, R., Caturano, A., Rinaldi, L., Criscuolo, L., Martino, A. D., Albanese, G., Vetrano, E., Catalini, C., Sardu, C., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms24010658 · Cited by 48 · see citing works
Agyemang, C. O., van der Linden, E. L., Chilunga, F. P., & van den Born, B. H. (2024) · Journal of the American Heart Association · doi:10.1161/jaha.123.030228 · Cited by 46 · see citing works
Ezzatvar, Y., Ramírez-Vélez, R., Izquierdo, M., & García-Hermoso, A. (2021) · Diabetologia · doi:10.1007/s00125-021-05554-9 · Cited by 42 · see citing works
Fu, Q., Jiang, H., Qian, Y., Lv, H. X., Dai, H., Zhou, Y., Chen, Y., He, Y., Gao, R., Zheng, S., et al. (2022) · Diabetologia · doi:10.1007/s00125-022-05849-5 · Cited by 43 · see citing works
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Misra, S., Khunti, K., Goyal, A., Gable, D. R., Armocida, B., Tandon, N., Sachdev, P., Wild, S. H., Hivert, M., & Beran, D. (2025) · The Lancet · doi:10.1016/s0140-6736(25)01067-0 · Cited by 42 · see citing works
Alsaqaaby, M. S., Cooney, S., le Roux, C. W., & Pournaras, D. J. (2024) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(24)00098-6 · Cited by 41 · see citing works
Cao, T., Xie, R., Wang, J., Xiao, M., Wu, H., Liu, X., Xie, S., Chen, Y., Liu, M., & Zhang, Y. (2024) · Nutrition Journal · doi:10.1186/s12937-024-00947-z · Cited by 39 · see citing works
Song, Z., Gao, M. Q., Lv, J., Yu, C., Guo, Y., Bian, Z., Wei, Y., Yang, L., Du, H., Chen, Y., et al. (2021) · European Journal of Endocrinology · doi:10.1530/eje-21-0743 · Cited by 39 · see citing works
Aukan, M. I., Coutinho, S. R., Pedersen, S. A., Simpson, M. R., & Martins, C. (2022) · Obesity Reviews · doi:10.1111/obr.13531 · Cited by 37 · see citing works
Type 2 diabetes in South Asians
Misra, A., Sattar, N. A., Ghosh, A., Nassar, M., Jayawardena, R., & Gupta, R. (2025) · BMJ · doi:10.1136/bmj-2024-079801 · Cited by 39 · see citing works
Longitudinal economic burden of incident complications among metabolic syndrome populations
Chong, K. S., Chang, Y.-H., Yang, C., Chou, C., Ou, H., & Kuo, S. (2024) · Cardiovascular Diabetology · doi:10.1186/s12933-024-02335-7 · Cited by 34 · see citing works
South Asia: The Missing Diverse in Diversity
Dokuru, D. R., Horwitz, T. B., Freis, S. M., Stallings, M. C., & Ehringer, M. A. (2023) · Behavior Genetics · doi:10.1007/s10519-023-10161-y · Cited by 35 · see citing works
An overview of diabetes mellitus in pregnant women with obesity
Bashir, M., Fagier, Y., Ahmed, B., & Konje, J. C. (2024) · Best Practice & Research Clinical Obstetrics & Gynaecology · doi:10.1016/j.bpobgyn.2024.102469 · Cited by 34 · see citing works
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Bajaj, S., Zhong, A., Zhang, A., & Stanford, F. C. (2024) · Annals of Internal Medicine · doi:10.7326/m24-0161 · Cited by 25 · see citing works
AnthropoAge, a novel approach to integrate body composition into the estimation of biological age
Fermín‐Martínez, C. A., Márquez‐Salinas, A., Guerra, E. C., Zavala‐Romero, L., Antonio‐Villa, N. E., Fernández‐Chirino, L., Sandoval-Colin, D. E., Barquera‐Guevara, D. A., Muñoz, A. C., Vargas‐Vázquez, A., et al. (2022) · Aging Cell · doi:10.1111/acel.13756 · Cited by 30 · see citing works
Wang, X., Mina, T. H., Sadhu, N., Jain, P., Ng, H. K., Low, D. Y., Tay, D., Tong, T. Y. Y., Choo, W.-L., Lim, L., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-65774-0 · Cited by 30 · see citing works
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Pearl, R. L., & Sheynblyum, M. (2025) · Current Obesity Reports · doi:10.1007/s13679-025-00605-3 · Cited by 28 · see citing works
Ishii, K., Ogawa, W., Kimura, Y., Kusakabe, T., Miyazaki, R., Sanada, K., Satoh‐Asahara, N., Someya, Y., Tamura, Y., Ueki, K., et al. (2024) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.14978 · Cited by 27 · see citing works
Hoogendoorn, M., Galekop, M. M. J., & van Baal, P. H. M. (2023) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15116 · Cited by 27 · see citing works
AlKhatib, A. H., & Obita, G. (2024) · Nutrients · doi:10.3390/nu16111730 · Cited by 30 · see citing works
Hagan, S., & Nelson, K. (2023) · Journal of General Internal Medicine · doi:10.1007/s11606-022-07821-w · Cited by 26 · see citing works
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Kadowaki, T., Heftdal, L. D., Ko, H., Overvad, M., Shimomura, I., Thamattoor, U. K., Kim, K. K., OASIS 2 Investigators, Kunishige, H., Okude, J., et al. (2025) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2025.3599 · Cited by 27 · see citing works
Zaccardi, F., Tan, P. S., Shah, B. R., Everett, K., Clift, A. K., Patone, M., Saatci, D., Coupland, C. A. C., Griffin, S. J., Khunti, K. K., et al. (2023) · BMC Public Health · doi:10.1186/s12889-023-15223-8 · Cited by 25 · see citing works
Eason, R. J., Thomas, N. J. M., Hill, A. V., Knight, B., Carr, A. L. J., Hattersley, A. T., McDonald, T. J., Shields, B. M., Jones, A. G., for the StartRight Study Group, et al. (2022) · Diabetes Care · doi:10.2337/dc22-0623 · Cited by 24 · see citing works
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Franks, P. W., & Sargent, J. L. (2024) · European Heart Journal · doi:10.1093/eurheartj/ehae746 · Cited by 25 · see citing works
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Goswami, A., Poole, L., Thorlu-Bangura, Z., Khan, N., Hanif, W., Khunti, K. K., Gill, P. S., Sajid, M., BLANDFORD, A. E., Stevenson, F. A., et al. (2022) · Journal of Medical Internet Research · doi:10.2196/40630 · Cited by 22 · see citing works
Self-citationStieglitz, L.-M., Bärnighausen, T., Leyna, G. H., Kazonda, P., Killewo, J., Rohr, J. K., & Kohler, S. (2022) · Journal of Multimorbidity and Comorbidity · doi:10.1177/26335565221076254 · Cited by 22 · see citing works
Corica, B., Romiti, G. F., Proietti, M., Mei, D. A., Boriani, G., Chao, T., Olshansky, B., Huisman, M. V., & Lip, G. Y. H. (2023) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2023.07.013 · Cited by 21 · see citing works
Chen, W., Li, B., Wang, H., Wei, G., Chen, K., Wang, W., Wang, S., & Liu, Y. (2024) · BMC Cardiovascular Disorders · doi:10.1186/s12872-024-03831-0 · Cited by 21 · see citing works
Yue, S., Thi, V. T. K., Dung, L. P., Nhu, B. T. H., Kestelyn, E., Trọng, T. Đ., Thanh, L. Q., & Hirst, J. E. (2022) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-022-04533-1 · Cited by 19 · see citing works
Kalra, S., Mithal, A., Zargar, A. H., Sethi, B. K., Dharmalingam, M., Ghosh, S. K., & Sen, R. (2022) · touchREVIEWS in Endocrinology · doi:10.17925/ee.2022.18.1.63 · Cited by 23 · see citing works
Johansson, C., Ortendahl, L., Lind, M. M., Andersson, J. S. O., Johansson, L., & Brunström, M. (2023) · Journal of Internal Medicine · doi:10.1111/joim.13688 · Cited by 20 · see citing works
Zhao, M., Qiu, S., Wu, X., Miao, P., Jiang, Z. L., Zhu, T., Xu, X., Zhu, Y., Zhang, B., Yuan, D., et al. (2023) · Targeted Oncology · doi:10.1007/s11523-023-00999-x · Cited by 20 · see citing works
Optimised Skeletal Muscle Mass as a Key Strategy for Obesity Management
Barber, T. M., Kabisch, S., Pfeiffer, A. F. H., & Weickert, M. O. (2025) · Metabolites · doi:10.3390/metabo15020085 · Cited by 19 · see citing works
“However, population-based data from a cohort in England demonstrate marked ethnic-specific variance in the risk of developing T2D based on the BMI [13].”
Self-citationA sustained-release PDGF-BB nanocomposite hydrogel for DM-associated bone regeneration
Li, Y., Liu, Z., Zhao, C., Xu, C., Shin, A., Wu, J., Li, D., Lin, K., & Liu, J. (2022) · Journal of Materials Chemistry B · doi:10.1039/d2tb02037h · Cited by 19 · see citing works
Kim, J., Kang, S., & Kang, H. (2023) · Healthcare · doi:10.3390/healthcare11162303 · Cited by 19 · see citing works
Understanding the development of sarcopenic obesity
Gross, D. C., Cheever, C. R., & Batsis, J. A. (2023) · Expert Review of Endocrinology & Metabolism · doi:10.1080/17446651.2023.2267672 · Cited by 19 · see citing works
Novel subgroups of obesity and their association with outcomes: a data-driven cluster analysis
Takeshita, S., Nishioka, Y., Tamaki, Y., Kamitani, F., Mohri, T., Nakajima, H., Kurematsu, Y., Okada, S., Myojin, T., Noda, T., et al. (2024) · BMC Public Health · doi:10.1186/s12889-024-17648-1 · Cited by 19 · see citing works
Wetzel, S., Geldsetzer, P., Mani, S. S., Gupta, A., Singh, K., Ali, M. K., Prabhakaran, D., Tandon, N., & Sudharsanan, N. (2023) · The Lancet Regional Health - Southeast Asia · doi:10.1016/j.lansea.2023.100188 · Cited by 18 · see citing works
Jacobs, B. M., Tank, P., Bestwick, J. P., Noyce, A. J., Marshall, C. R., Mathur, R., Giovannoni, G., & Dobson, R. (2022) · Journal of Neurology · doi:10.1007/s00415-023-11971-0 · Cited by 20 · see citing works
Self-citationVascular Regenerative Cell Deficiencies in South Asian Adults
Krishnaraj, A., Bakbak, E., Teoh, H., Pan, Y., Firoz, I. N., Pandey, A. K., Terenzi, D. C., Verma, R., Bari, B., Bakbak, A. I., et al. (2024) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2023.12.012 · Cited by 18 · see citing works
Culturally Adapted Lifestyle Intervention for South Asian Adults With Cardiovascular Risk Factors
Kandula, N. R., Shah, N. S., Kumar, S., Charley, M., Clauson, M., Lancki, N., Finch, E. A., Ehrlich‐Jones, L., Rao, G., Spring, B. J., et al. (2024) · JAMA Cardiology · doi:10.1001/jamacardio.2024.2526 · Cited by 18 · see citing works
Cardiovascular Risk Management in the South Asian Patient: A Review
Shah, K., Patel, J., Rifai, M. A., Agarwala, A., Bhatt, A. B., Levitzky, Y. S., & Palaniappan, L. P. (2022) · Health Sciences Review · doi:10.1016/j.hsr.2022.100045 · Cited by 19 · see citing works
Lee, M. M., Barrett, J. L., Kenney, E. L., Gouck, J., Whetstone, L. M., McCulloch, S. M., Cradock, A. L. I., Long, M. W., Ward, Z. J., Rohrer, B., et al. (2023) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2023.08.004 · Cited by 17 · see citing works
Muniyappa, R., & Narayanappa, S. B. K. (2023) · Journal of the Endocrine Society · doi:10.1210/jendso/bvad167 · Cited by 21 · see citing works
Chen, X., Duan, M., Hou, R., Zheng, M., Li, H., Singh, M., Li, C., Liu, K., Zhang, F., Yang, X., et al. (2021) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s339066 · Cited by 17 · see citing works
Jeyakumar, Y., Richardson, L., Sarma, S., Retnakaran, R. R., & Kramer, C. K. (2024) · BMJ Global Health · doi:10.1136/bmjgh-2024-017177 · Cited by 18 · see citing works
A Critical Assessment of Fasting to Promote Metabolic Health and Longevity
Fazeli, P. K., & Steinhauser, M. L. (2025) · Endocrine Reviews · doi:10.1210/endrev/bnaf021 · Cited by 19 · see citing works
Zhou, Z., Parra-Soto, S. L., Boonpor, J., Petermann-Rocha, F. E., Welsh, P. I., Mark, P. B., Sattar, N. A., Pell, J. P., Celis-Morales, C. A., & Ho, F. K. W. (2023) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2023.101715 · Cited by 17 · see citing works
Philosophically, is obesity really a disease?
Steele, M., & Finucane, F. M. (2023) · Obesity Reviews · doi:10.1111/obr.13590 · Cited by 16 · see citing works
Malagón-Soriano, V. A., Ledezma, A. J., Espinel-Pachón, C. F., Burgos-Cárdenas, Á. J., Garcés, M. F., Ramirez, G. E. O., Vega, R. F., Franco, J. J. P., Maldonado‐Acosta, L. M., Rubio-Romero, J. A., et al. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1343641 · Cited by 16 · see citing works
Lean type 2 diabetes: the overlooked epidemic reshaping global health
Singh, V. (2025) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-025-02015-w · Cited by 18 · see citing works
Dietary Assessment Tools and Metabolic Syndrome: Is It Time to Change the Focus?
Chauhan, H., Belski, R., Bryant, E. J., & Cooke, M. B. (2022) · Nutrients · doi:10.3390/nu14081557 · Cited by 15 · see citing works
Risk of progression from pre‐diabetes to type 2 diabetes in a large UK adult cohort
Gardner, M. P., Wang, J., Hazlehurst, J., Sainsbury, C. A. R., Blissett, J. M., Nirantharakumar, K., Thomas, G. N., & Bellary, S. (2022) · Diabetic Medicine · doi:10.1111/dme.14996 · Cited by 18 · see citing works
Xing, Y., Cheng, T., Zhou, F., & Ma, H. (2022) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s348870 · Cited by 14 · see citing works
Mifsud, F., Saint‐Martin, C., Dubois‐Laforgue, D., Bouvet, D., Timsit, J., & Bellanné‐Chantelot, C. (2022) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2022.109908 · Cited by 14 · see citing works
Body composition of the upper limb associated with hypertension, hypercholesterolemia, and diabetes
Qi, Q., Sun, K., Rong, Y., Li, Z., Wu, Y., Zhang, D., Song, S., Wang, H., & Feng, L. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.985031 · Cited by 14 · see citing works
Genua, I., Franch‐Nadal, J., Navas, E., Mata‐Cases, M., Giménez‐Pérez, G., Vlacho, B., Mauricio, D., & Goday, A. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1015614 · Cited by 14 · see citing works
Obesity and Cardiovascular Risk Among South Asian Americans
Deshpande, A., Shah, N. S., & Kandula, N. R. (2023) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-023-00714-5 · Cited by 15 · see citing works
Norris, C. M., Mullen, K., Foulds, H. J. A., Jaffer, S., Nerenberg, K. A., Gulati, M., Parast, N., Tegg, N. L., Gonsalves, C. A., Grewal, J., et al. (2023) · CJC Open · doi:10.1016/j.cjco.2023.07.013 · Cited by 14 · see citing works
Wang, S., Shen, J., Koh, W., Yuan, J., Gao, X., Peng, Y., Xu, Y., Shi, S., Huang, Y., Dong, Y., et al. (2024) · Obesity · doi:10.1002/oby.24129 · Cited by 16 · see citing works
Disparities in diabetes between US-born and foreign-born population: using three diabetes indicators
Choi, D., Narayan, K. M. V., & Patel, S. A. (2022) · Biodemography and Social Biology · doi:10.1080/19485565.2021.2016368 · Cited by 14 · see citing works
Fang, N., Huang, Y., Yin, C.-H., Chen, J., & Chiou, Y. (2023) · Pediatric Nephrology · doi:10.1007/s00467-023-05954-6 · Cited by 13 · see citing works
Individualised prescription of medications for treatment of obesity in adults
Hocking, S. L., & Sumithran, P. (2023) · Reviews in Endocrine & Metabolic Disorders · doi:10.1007/s11154-023-09808-2 · Cited by 12 · see citing works
Association of Body Mass Index and Its Change With Incident Diabetes Mellitus
Ohno, R., Kaneko, H., Ueno, K., Aoki, H., Okada, A., Kamiya, K., Suzuki, Y., Matsuoka, S., Fujiu, K., Takeda, N., et al. (2023) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgad374 · Cited by 13 · see citing works
Vyas, M. V., Redditt, V. J., Mohamed, S., Abraha, M., Sheth, J., Shah, B. R., Ko, D. T., & Ke, C. (2024) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2024.02.011 · Cited by 13 · see citing works
Timková, V., Mináriková, D., Fábryová, Ľ., Bučková, J., Minárik, P., Katreniaková, Z., & Nagyová, I. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1280071 · Cited by 17 · see citing works
- Authors
- Caleyachetty, R., Barber, T. M., Mohammed, N. I., Cappuccio, F. P., Hardy, R., Mathur, R., Banerjee, A., & Gill, P.
- Affiliations
- University Hospital Coventry (GB)
- Corresponding author
- Caleyachetty, Rishi
- ORCID
- Venue
- The Lancet Diabetes & Endocrinology
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 9
- Issue
- 7
- Pages
- 419-426
- ISSN
- 2213-8587 (ISSN-L)
- PMC
- PMC8208895
- OpenAlex
- W3162704165
- Cited by
- 429
- References
- 30
- Citations by year
- 2026: 87 · 2025: 100 · 2024: 82 · 2023: 81 · 2022: 61 · 2021: 18
- FWCI
- 45.46
- Type
- journal article
- Language
- en
- Update notices
- erratum (2021-07-01)
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Lancet Diabetes & Endocrinology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Warwick Research Archive Portal (University of Warwick) (acceptedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- South Asian Health Foundation
- National Institute for Health Research (PB-PG-1217\u201320038, 20038, PB-PG-1217)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- type 2 diabetes, obesity, body mass index, ethnic minorities, Arabs, diabetes risk, diabetes prevention, clinical surveillance
- MeSH terms
- Adult, Diabetes Mellitus, Type 2, England, Ethnicity, Female, Follow-Up Studies, Humans, Male, Middle Aged, Obesity, Population Surveillance, Risk Factors, Cohort Studies, Body Mass Index, Electronic Health Records
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